Source: lda
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
X-Original-Maintainer: Allen B. Riddell <abr@ariddell.org>
Section: python
Priority: optional
Build-Depends: debhelper (>= 8),
               dh-python,
               python-all (>= 2.7.3~),
               python-all-dev (>= 2.7.3~),
               python-setuptools,
               python3-all,
               python3-all-dev,
               python3-setuptools,
               python-oslotest,
               python3-oslotest,
               python-six,
               python3-six,
               python-pbr,
               python3-pbr,
               python-numpy,
               python3-numpy,
               python-scipy,
               python3-scipy,
               cython,
               cython3,
Standards-Version: 3.9.6
X-Python-Version: >= 2.7
X-Python3-Version: >= 3.3
Homepage: https://pythonhosted.org/lda/
Vcs-Browser: http://github.com/ariddell/lda
Vcs-Git: git://github.com/ariddell/lda.git

Package: python3-lda
Architecture: any
Depends: neurodebian-popularity-contest, ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends}, python3-numpy
Description: Topic modeling with latent Dirichlet allocation
 lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs
 sampling.
 .
 This package contains the Python 3.x module.

Package: python-lda
Architecture: any
Depends: neurodebian-popularity-contest, ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends}, python-numpy
Description: Topic modeling with latent Dirichlet allocation for Python 3
 lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs
 sampling.
 .
 This package contains the Python 2.7 module.
